Results 101 to 110 of about 918,366 (270)
Time-course gene expression profiling of high glucose-induced endothelial cell apoptosis [PDF]
Diabetes is a debilitating metabolic disorder resulting from hyperglycemia and glucose intolerance. High glucose-induced endothelial dysfunction is an important contributor to vascular disease in diabetes.
Weng, Julia T.Y.
core
Spatial Transcriptomics Analysis of Spatially Dense Gene Expression Prediction [PDF]
Spatial transcriptomics (ST) measures gene expression at fine-grained spatial resolution, offering insights into tissue molecular landscapes. Previous methods for spatial gene expression prediction usually crop spots of interest from pathology tissue slide images, and learn a model that maps each spot to a single gene expression profile.
arxiv
Spectral analysis of gene expression profiles using gene networks [PDF]
Microarrays have become extremely useful for analysing genetic phenomena, but establishing a relation between microarray analysis results (typically a list of genes) and their biological significance is often difficult. Currently, the standard approach is to map a posteriori the results onto gene networks to elucidate the functions perturbed at the ...
arxiv
Motivation: Identifying genes with bimodal expression patterns from large-scale expression profiling data is an important analytical task. Model-based clustering is popular for this purpose. That technique commonly uses the Bayesian information criterion
Jing Wang+4 more
doaj
Background The Domain of unknown function 679 membrane protein (DMP) family, which is unique to plants, plays a crucial role in reproductive development, stress response and aging.
Yuan Ma+7 more
doaj +1 more source
Decoding Acute Myeloid Leukemia: A Clinician’s Guide to Functional Profiling
Acute myeloid leukemia (AML) is a complex clonal disorder characterized by clinical, genetic, metabolomic, and epigenetic heterogeneity resulting in the uncontrolled proliferation of aberrant blood-forming precursor cells.
Prasad Iyer+4 more
doaj +1 more source
What does the Allen Gene Expression Atlas tell us about mouse brain evolution? [PDF]
We use the Allen Gene Expression Atlas (AGEA) and the OMA ortholog dataset to investigate the evolution of mouse-brain neuroanatomy from the standpoint of the molecular evolution of brain-specific genes. For each such gene, using the phylogenetic tree for all fully sequenced species and the presence of orthologs of the gene in these species, we ...
arxiv
Bayesian estimation of fold-changes in gene expression: the PFOLD algorithm and its uses in the analysis of complex expression profiles [PDF]
Joachim Theilhaber+2 more
openalex +1 more source
Studies of gene expression profiling have been successfully used for the identification of molecules to be employed as potential prognosticators.
Rupolo Maurizio+10 more
doaj +1 more source
GeneQuery: A General QA-based Framework for Spatial Gene Expression Predictions from Histology Images [PDF]
Gene expression profiling provides profound insights into molecular mechanisms, but its time-consuming and costly nature often presents significant challenges. In contrast, whole-slide hematoxylin and eosin (H&E) stained histological images are readily accessible and allow for detailed examinations of tissue structure and composition at the microscopic
arxiv